2017
Autores
Petryszak, R; Fonseca, NA; Füllgrabe, A; Huerta, L; Keays, M; Tang, YA; Brazma, A;
Publicação
Bioinformatics
Abstract
Motivation: The exponential growth of publicly available RNA-sequencing (RNA-Seq) data poses an increasing challenge to researchers wishing to discover, analyse and store such data, particularly those based in institutions with limited computational resources. EMBL-EBI is in an ideal position to address these challenges and to allow the scientific community easy access to not just raw, but also processed RNA-Seq data. We present a Web service to access the results of a systematically and continually updated standardized alignment as well as gene and exon expression quantification of all public bulk (and in the near future also single-cell) RNA-Seq runs in 264 species in European Nucleotide Archive, using Representational State Transfer. Results: The RNASeq-er API (Application Programming Interface) enables ontology-powered search for and retrieval of CRAM, bigwig and bedGraph files, gene and exon expression quantification matrices (Fragments Per Kilobase Of Exon Per Million Fragments Mapped, Transcripts Per Million, raw counts) as well as sample attributes annotated with ontology terms. To date over 270 00 RNA-Seq runs in nearly 10 000 studies (1PB of raw FASTQ data) in 264 species in ENA have been processed and made available via the API.
2017
Autores
Sarmento, RP; Cordeiro, M; Brazdil, P; Gama, J;
Publicação
Complex Networks & Their Applications VI - Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications), COMPLEX NETWORKS 2017, Lyon, France, November 29 - December 1, 2017.
Abstract
Social Network Analysis (SNA) is an important research area. It originated in sociology but has spread to other areas of research, including anthropology, biology, information science, organizational studies, political science, and computer science. This has stimulated research on how to support SNA with the development of new algorithms. One of the critical areas involves calculation of different centrality measures. The challenge is how to do this fast, as many increasingly larger datasets are available. Our contribution is an incremental version of the Laplacian Centrality measure that can be applied not only to large graphs but also to dynamically changing networks. We have conducted several tests with different types of evolving networks. We show that our incremental version can process a given large network, faster than the corresponding batch version in both incremental and full dynamic network setups. © Springer International Publishing AG 2018.
2017
Autores
El Hosiny Ali, HE; Jimenez, R; Ramos, P; de la Cruz, JP; Fernandes, JRA; Bretos, I; Calzada, ML; Ricote, J;
Publicação
THIN SOLID FILMS
Abstract
The sharp decrease of the remnant ferroelectric and piezoelectric properties of Pb(Mg1/3Nb2/3)O-3-PbTiO3 (PMNT) thin films close to the Morphotropic Phase Boundary (MPB) respect to their corresponding bulk ceramics is a major drawback for their integration in microdevices. In order to take full advantage of the excellent piezoelectric properties of polycrystalline PMNT in thin film form, a multilayer configuration with PbTiO3 (PT) layers is proposed. The PT layers generate an internal electric bias within the PMNT layer, which anchor an induced polarization in it. This results in a significant improvement of the piezoelectric behavior, obtaining remnant piezoelectric coefficients, d(33) (r), as high as 67 pm V-1. The role of the thickness of the PT layers used is discussed, in order to find the optimum configuration for these multilayers.
2017
Autores
Cassola, F; Costa, A; Henriques, R; Rocha, A; Sousa, M; Gomes, P; Ferreira, T; Cunha, C; Salgado, J;
Publicação
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH (ICT4AWE), VOL 1
Abstract
This work presents a screening and evaluation platform for depression and suicidality that has been tested in the scope of primary healthcare. The main objective is to improve the efficiency and effectiveness of screening processes. A web-based, decision support platform was provided for qualified healthcare professionals. The platform provides several assessment tools for patient evaluation and monitoring of their treatment, along with follow up appointment management. A preliminary evaluation process was carried out to understand the health professional's satisfaction. This revealed there was general satisfaction with its integrated functions and all the provided methods of assessment. In conclusion, the project sustains the goal of improving the treatment outcomes for clinical depression by refining the screening methods and consequently increase the screening effectiveness and efficiency.
2017
Autores
Cledou, G; Barbosa, LS;
Publicação
2017 IEEE/ACM 5TH INTERNATIONAL FME WORKSHOP ON FORMAL METHODS IN SOFTWARE ENGINEERING (FORMALISE) PROCEEDINGS
Abstract
Software Product Lines (SPLs) enable the development of families of software systems by taking advantage of the commonalities and variabilities of the members of the family. Despite its many advantages, it is an unexplored area in the electronic government domain, an area with evident families of services, and with high demands to develop faster and better services to citizens and businesses while reducing costs. This paper discusses the need of formal methods to model SPLs for such domain. It presents a case study of a family of public licensing services modeled in UPPAAL and based on Featured Timed Automata, an extension of Timed Automata to model real-time SPLs. It analyzes the suitability of FTA to model distributed families of services, while provides hints on a possible enrichment of FTA to better support modularization and compositionality of services.
2017
Autores
Hajibandeh, N; Shafie khah, M; Osorio, GJ; Catalao, JPS;
Publicação
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
Abstract
This work proposes a new approach to detect the market power in power systems consisting of renewable energy sources. A model powered by game theory and agent-based systems is proposed to analyze the behaviors of each market player from the regulatory body's viewpoint. The proposed method considers both the tacit collusive behavior of Generation Companies, and the possibility of explicit collusion. In addition, three new market power indexes are introduced to quantify the market power level as well as to precise its causes. In order to evaluate the efficiency of the methodology, various numerical studies are carried out, and the effect of several market regulations is investigated on the market behaviors.
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